Kun Jin

1.1k citations
76 papers · 737 · h-index 14

Impact in

Papers in

    • Prostate Cancer Treatment and Research 20
    • Prostate Cancer Diagnosis and Treatment 17
    • Ferroptosis and cancer prognosis 5
    • Bladder and Urothelial Cancer Treatments 13

Kun Jin

73 papers receiving 734 citations

Peers

Kun Jin
Comparison fields: 5 of 107
  • Biological Psychiatry 22
  • Nephrology 60
  • Cancer Research 96
  • Pulmonary and Respiratory Medicine 193
  • Urology 37
Replace Fuxun Zhang with:
Fuxun Zhang China
Nevin Karakuş Türkiye
Rosa Maria Paragliola Italy
Chang‐Hsun Hsieh Taiwan
Xiayao Diao China
Mara Carşote Romania
Katarina Trebušak Podkrajšek Slovenia
Linghui Deng China
Stefan Kudlacek Austria
J. Hensen Germany
Kun Jin relative to Fuxun Zhang China Fuxun Zhang's profile →
Citations per field
00.5×4.4×
Fuxun Zhang · 1×
Citations per year

Countries citing papers authored by Kun Jin

Since Specialization
Citations

This map shows the geographic impact of Kun Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jin more than expected).

Fields of papers citing papers by Kun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun Jin. The network helps show where Kun Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Jin Line = papers co-authored together Kun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202143
3 202142
4 202038
5 202032
6 202132
7 202225
8 201824
9 202123
10 202222
11 202021
12 202220
13 202017
14 202216
15 202313
16 202013
17 202013
18 202013
19 202112
20 202111

About Kun Jin

Kun Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Psychiatry and Mental health and Rheumatology, having authored 76 papers that have together received 737 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (20 papers), Prostate Cancer Diagnosis and Treatment (17 papers), Bladder and Urothelial Cancer Treatments (13 papers), Statistical Methods in Clinical Trials (7 papers), Bipolar Disorder and Treatment (6 papers), Ferroptosis and cancer prognosis (5 papers), Urologic and reproductive health conditions (5 papers) and Urinary Bladder and Prostate Research (4 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Nephrology (60 citations), Cancer Research (96 citations), Pulmonary and Respiratory Medicine (193 citations) and Urology (37 citations). Kun Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shi Qiu, Qiang Wei, Lu Yang, Xianghong Zhou, Xiaonan Zheng, Jiakun Li, Xinyang Liao, Di Jin, Xiang Tu and Yige Bao. Their work appears in journals such as Journal of Affective Disorders, Asian Journal of Andrology, Medicine, Frontiers in Psychiatry and Clinical Genitourinary Cancer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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